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Found 4 papers, 1 papers with code
Deep Domain Adaptation: A Sim2Real Neural Approach for Improving Eye-Tracking Systems
In remedy, we use dimensionality-reduction techniques to measure the overlap between the target eye images and synthetic training data, and to prune the training dataset in a manner that maximizes distribution overlap.
Neural supersampling for real-time rendering
Due to higher resolutions and refresh rates, as well as more photorealistic effects, real-time rendering has become increasingly challenging for video games and emerging virtual reality headsets.
A Primal-Dual Algorithm for Higher-Order Multilabel Markov Random Fields
Graph cuts method such as a-expansion [4] and fusion moves [22] have been successful at solving many optimization problems in computer vision.
Structured learning of sum-of-submodular higher order energy functions
Rather than trying to formulate existing higher order priors as an SoS function, we take a discriminative learning approach, effectively searching the space of SoS functions for a higher order prior that performs well on our training set.
